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Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms. The book is divided into three parts. The first part presents a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers. It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science. The primary audience for Mining Very Large Databases with ParallelProcessing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.

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Is your son or daughter thinking about applying to university or already at university? Are you worried they won't find a good job - or any job - when they graduate? There are 80 applicants for every graduate job and 28% less graduate job vacancies, so your child is no longer guaranteed to find work on graduation. They'll need to work much harder to stand out from the other applicants - but what can you as a parent do improve their prospects? Bringing you the best and latest advice from the jobs market, graduate careers guru Paul Redmond shows you how to help your child get a head-start in their future career. From understanding the importance of your child's degree course and university choices, to ensuring they don't fall in the unemployment trap on graduation, you'll learn how to be their personal careers adviser and kick-start their success! Your involvement can have a real - and positive - impact on your child's future prospects and it's never too soon to start planning.
Discover how to: Increase their employability Boost their earning potential Equip them with essential works skills Use your own contacts to get them ahead Get them the right work experience If followed, the advice inside will directly increase your son or daughters employability: whether it's ensuring they get the right skills and experience that employers are really looking for, or learning how to successfully navigate the changing world of recruitment. Not only can you help your child get the right qualifications, you can also make sure your child has the right experience and contacts to give them the edge in their hunt for a job, so they can take their first step on the career ladder. You have the power to give your child a major advantage in the world of work, so give them a head start in tomorrow's world of work, today. Paul Redmond is also the author of The Graduate Jobs Formula that gives practical advice to help graduates find employment.